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https://github.com/icecube/kde

Kernel Density Estimation: accelerated, multi-dimensional, and adaptive bandwidth

https://github.com/icecube/kde

Science Score: 8.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ✓
    Institutional organization owner
    Organization icecube has institutional domain (icecube.wisc.edu)
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (5.0%) to scientific vocabulary
Last synced: 4 months ago · JSON representation

Repository

Kernel Density Estimation: accelerated, multi-dimensional, and adaptive bandwidth

Basic Info
  • Host: GitHub
  • Owner: icecube
  • License: mit
  • Language: Python
  • Default Branch: master
  • Size: 1.24 MB
Statistics
  • Stars: 7
  • Watchers: 6
  • Forks: 6
  • Open Issues: 1
  • Releases: 0
Created almost 7 years ago · Last pushed over 2 years ago

https://github.com/icecube/kde/blob/master/ 

kde
---
Multi-dimenstional Kernel Density Estimation (KDE) including adaptive
bandwidths and C and CUDA implementations for specific cases.


Authors
-------
Sebastian Schoenen (schoenen@physik.rwth-aachen.de) and Martin Leuermann for
the IceCube collaboration.


Installation Instructions
-------------------------
Download the software into directory . There should be a subdirectory
named "kde" within the  directory.

To install in a location independent of your system Python files, install via
the following command:

$ pip install [cuda] --user

where [cuda] is optional, ensuring support for GPU.

To install with references to the source code where it is downloaded (so that
changes in the sourcecode are reflected immediately):

$ pip install -e [cuda] --user

Owner

  • Name: IceCube Neutrino Observatory
  • Login: icecube
  • Kind: organization
  • Location: South Pole Station, Antarctica

Repo Guide: https://github.com/icecube/icecube.github.io/wiki

GitHub Events

Total
  • Issues event: 1
  • Watch event: 4
  • Pull request event: 1
  • Fork event: 1
Last Year
  • Issues event: 1
  • Watch event: 4
  • Pull request event: 1
  • Fork event: 1

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Last synced: 6 months ago

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  • Total pull requests: 1
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  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.0
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  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Top Authors
Issue Authors
  • teakfi (1)
Pull Request Authors
  • teakfi (1)
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Dependencies

setup.py pypi
  • numexpr *
  • numpy *
  • scipy *